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Apparel quality control and AQL inspection

Fashion Technology (Apparel Production) (B.FTech) · Quality and compliance · free study notes for exams, placements and interviews

In short

Apparel quality control is the system of checks that runs from incoming fabric and trims, through cutting, sewing and finishing, to the packed carton, so that a shipment matches the buyer's approved sample, specification sheet and tolerances. Because 100% inspection of lakhs of garments is slow, costly and still not fully reliable, the industry accepts or rejects lots by attribute sampling plans indexed by Acceptance Quality Limit (AQL) — internationally ISO 2859-1, adopted in India as the IS 2500 series, and equivalently ANSI/ASQ Z1.4 in US buyer protocols. The topic is examined in Apparel Quality Assurance, Garment Manufacturing Technology and Quality Management papers (NIFT, NIFT-TEA, DKTE, SASMIRA, university B.FTech/B.Tech Textiles), and is asked in almost every QA interview at Shahi Exports, Gokaldas, Arvind, Raymond, Page Industries, Pearl Global, Orient Craft, Tirupur knitwear houses, and at third-party inspection firms (SGS, Intertek, Bureau Veritas, TÜV, QIMA).

Explained

Quality terms and the structure of apparel QC

Defect classification and defect lists

Incoming fabric inspection — the 4-point system

Defect length (either direction)Penalty points
Up to 75 mm (3 in)1
Over 75 up to 150 mm (3-6 in)2
Over 150 up to 225 mm (6-9 in)3
Over 225 mm (over 9 in)4

AQL sampling — the concept

Operating the plan: ISO 2859-1 / IS 2500 step by step

  1. Define the lot — garments of one style/PO offered for inspection together, usually when ≥ 80% is packed.
  2. Choose the inspection level — Level II is normal (default). Level I uses about 0.4× the sample (lenient, for trusted suppliers); Level III about 1.6× (tightened). S-1 to S-4 are special small-sample levels for destructive or costly checks.
  3. Find the sample size code letter from lot size and inspection level, then the sample size n and, against the chosen AQL, the acceptance number Ac and rejection number Re (= Ac + 1 under normal single sampling).
  4. Draw the sample at random across the whole lot — select about √(number of cartons) cartons (many protocols use √N + 1), spread across sizes, colours and production dates.
  5. Inspect — workmanship on all sampled pieces; measurements on a sub-sample; plus carton/shipping marks, size ratio, barcode scan, trims, shade against the band, needle/metal detection, button pull (a common requirement for children's wear), and any buyer-specified field tests.
  6. Decide — accept if observed defectives (or defects) d ≤ Ac; reject if d ≥ Re. A reject means 100% re-inspection and rework by the exporter, then re-offer (usually inspected at tightened level).
  7. Switching rules (mandatory in ISO 2859-1, not optional):
    • Normal → Tightened: 2 of any 5 (or fewer) consecutive lots not accepted.
    • Tightened → Normal: 5 consecutive lots accepted on tightened inspection.
    • Discontinue inspection (stop accepting from that supplier until it improves) if 5 lots remain non-accepted on tightened inspection.
    • Normal → Reduced: 10 consecutive lots accepted, total non-conformities below the standard's limit number, production steady, and the responsible authority agrees. Reduced inspection uses about 40% of the normal sample size, with Re greater than Ac + 1.
    • Reduced → Normal: any lot not accepted, or production becomes irregular.
  8. Record — inspection report with lot size, level, AQL, n, Ac/Re, defect tally by type and grade, photographs, measurement sheet, and the verdict (Pass / Fail / Hold-pending).

Inspection types in the shipment cycle

Limits, tools and the Indian framework

Key points

Formulas and examples

Points per 100 yd² (4-point) = (total penalty points × 3600) / (fabric length in yd × usable width in in)
Points per 100 m² = (total points × 100) / (length in m × usable width in m)
DHU = (total defects found / units inspected) × 100 [defects per hundred units]
Defective % = (defective units / units inspected) × 100
Right-first-time, RFT % = (defect-free units / units inspected) × 100
Acceptance rule: accept if d ≤ Ac; reject if d ≥ Re, where d = defectives in the sample of n
Probability of acceptance (Poisson approximation, n small vs N): Pa = Σ(x = 0 to Ac) e−np (np)x / x!
Average Outgoing Quality: AOQ = p × Pa × (N − n) / N (p = true fraction defective, N = lot size)
Average Total Inspection (rejected lots screened 100%): ATI = n + (1 − Pa)(N − n)
Cartons to open ≈ √(total cartons), rounded up (some protocols use √N + 1)

Sample-size and acceptance table, ISO 2859-1 single sampling, normal, General Inspection Level II (majors):

Lot sizeCodenAc/Re at 1.5Ac/Re at 2.5Ac/Re at 4.0
281-500H502/33/45/6
501-1,200J803/45/67/8
1,201-3,200K1255/67/810/11
3,201-10,000L2007/810/1114/15
10,001-35,000M31510/1114/1521/22

Example 1 - reading the plan and deciding. A Tirupur unit offers 5,000 T-shirts; buyer protocol is GIL II, AQL 2.5 major / 4.0 minor, critical 0.

Example 2 - 4-point fabric inspection. A roll is 120 yd long, usable width 58 in. Defects found: 6 up to 3 in, 4 of 3-6 in, 3 of 6-9 in, 2 over 9 in.

Example 3 - OC curve and AOQ. Same plan as Example 1 (N = 5,000, n = 200, Ac = 10). The true process is running at 5% defective.

Example 4 - DHU, defective % and RFT. End-line checking of 400 shirts records 72 defects spread over 68 shirts.

Example 5 - sampling spread and inspection level. A lot of 8,400 trousers is packed in 350 cartons, 24 pcs per carton.

Where it is used

Interview questions

Common mistakes

Related topics

Textile testing and quality control · Social compliance in apparel: WRAP, SA8000 and amfori BSCI · Statistical quality control and the seven QC tools · Garment manufacturing technology: cutting, sewing and finishing · Apparel production planning and industrial engineering (DHU, RFT, line balancing) · Sustainability in textiles

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